Transferability of the Deep Learning Mask R-CNN Model for Automated Mapping of Ice-Wedge Polygons in High-Resolution Satellite and UAV Images
State-of-the-art deep learning technology has been successfully applied to relatively small selected areas of very high spatial resolution (0.15 and 0.25 m) optical aerial imagery acquired by a fixed-wing aircraft to automatically characterize ice-wedge polygons (IWPs) in the Arctic tundra. However,...
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| Veröffentlicht in: | Remote sensing (Basel, Switzerland) Jg. 12; H. 7; S. 1085 |
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| Hauptverfasser: | , , , , , , |
| Format: | Journal Article |
| Sprache: | Englisch |
| Veröffentlicht: |
Basel
MDPI AG
28.03.2020
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| Schlagworte: | |
| ISSN: | 2072-4292, 2072-4292 |
| Online-Zugang: | Volltext |
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